Abstract
In this work, we propose a Comprehensive Learning Particle Swarm Optimization (CLPSO) based weighted clustering algorithm for mobile ad hoc networks. It finds the optimal number of clusters to efficiently manage the resources of the network. The proposed CLPSO based clustering algorithm takes into consideration the ideal degree, transmission power, mobility, and battery power of the mobile nodes. A weight is assigned to each of these parameters of the network. Each particle contains information about the cluster-heads and the members of each cluster. The simulation results are compared with two other well-known clustering algorithms. Results show that the proposed technique works better than the other techniques especially in dense networks.
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Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.: Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions. IEEE Trans. Evol. Comput. 10(3), 281–295 (2006)
Ji, C., Zhang, Y., Gao, S., Yuan, P., Li, Z.: Particle Swarm Optimization for Mobile Ad Hoc Networks Clustering. In: Proceedings of the 2004 IEEE International Conference on Networking, Sensing & Control, Taipei. Taiwan, March 21-23 (2004)
Chatterjee, M., Das, S.K., Turgut, D.: WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks. Cluster Computing 5, 193–204 (2002)
Turgut, D., Das, S.K., Elmasri, R., Turgut, B.: Optimizing Clustering Algorithm in Mobile Ad hoc Networks Using Genetic Algorithmic Approach. In: Proceedings of GLOBECOM 2002, Taipei, Taiwan, pp. 62–66 (2002)
Gerla, M., Tsai, J.T.C.: Multicluster, Mobile, Multimedia Radio Network. Wireless Networks 1(3), 255–265 (1995)
Baker, D.J., Ephremides, A.: The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm. IEEE Transactions on Communications, 1694–1701 (1981)
Er, I.I., Seah, W.K.G.: Mobility-based D-hop Clustering Algorithm for Mobile Ad hoc Networks. In: IEEE WCNC, Atlanta, USA (2004)
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© 2009 Springer-Verlag Berlin Heidelberg
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Shahzad, W., Khan, F.A., Siddiqui, A.B. (2009). Clustering in Mobile Ad Hoc Networks Using Comprehensive Learning Particle Swarm Optimization (CLPSO). In: Ślęzak, D., Kim, Th., Chang, A.CC., Vasilakos, T., Li, M., Sakurai, K. (eds) Communication and Networking. FGCN 2009. Communications in Computer and Information Science, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10844-0_41
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DOI: https://doi.org/10.1007/978-3-642-10844-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10843-3
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